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Almirall says comparing SMART designs will increase treatment quality for children with autism

Thompson says America must "unchoose" policies that have led to mass incarceration

Alter says lack of access to administrative data is "big drag on research"


Knodel honored by Thailand's Chulalongkorn University

Susan Murphy to speak at U-M kickoff for data science initiative, Oct 6, Rackham

Andrew Goodman-Bacon, former trainee, wins 2015 Nevins Prize for best dissertation in economic history

Deirdre Bloome wins ASA award for work on racial inequality and intergenerational transmission

Next Brown Bag

Monday, Oct 19 at noon, 6050 ISR
Rob Stephenson

Matthew D. Shapiro

Shapiro comments of the value of Twitter data for gauging unemployment

a PSC In The News reference

"The weird Google searches of the unemployed and what they say about the economy" - Washington Post. 05/30/2014.

This story looks at how researchers are using big data — culled from internet browsing histories and social media use — to predict unemployment rates, retail prices, home buying, and more, often before the U.S. releases its official estimates. Matthew Shapiro says: “Statistics serve us really well and are completely essential as benchmarks for where the economy is — or more precisely, has been. But we don’t have a lot of indicators that tell us what’s happening right now, particularly when the economy is changing direction.”


Matthew D. Shapiro

More Media Coverage:

The Guardian. What search engines tell governments about the economic here and now. 6/14/2014.

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